LANGUAGE DETECTION = INFORMED RISK ACCEPTANCE

Communications surveillance technology relies on three main approaches to detect potential abuse – Lexicons, NLP, and Large Language Models (LLMs). Each comes with its own strengths and limitations, and understanding what each can realistically handle will help you design controls that match your population. Lexicons / Key Words Lexicons work by matching exact phrases, so […]

The Validation Double Standard: Why AI Models Face Scrutiny That Human Analysts Don’t

When an AI model risk scores an email for potential compliance violations, regulators expect extensive validation including test datasets, performance metrics, bias testing, ongoing monitoring and detailed documentation. The model’s decision-making process must be transparent, measurable and continuously validated. When a human analyst risk scores that same email, making the same compliance assessment with the […]

Designing Voice Surveillance: Beyond Minutes, Models and Misplaced Effort

Voice remains one of the most resource-intensive surveillance channels. While email and messaging coverage is mature, voice introduces practical voice surveillance design challenges that are often overlooked. These include how to handle transcription accuracy across multilingual teams, when to enable speaker separation, how to manage translated summaries and how to prioritise ingestion when surveillance coverage […]

Buy-Side Surveillance

Surveillance obligations on the buy-side can be confusing, especially with the broad regulatory language and differing firm structures. This post outlines what buy-side firms need, what’s optional, what it might cost, and how to make practical decisions based on your setup and exposure. Do I Need Surveillance? Very likely…Buy Side and Sell Side have different […]